survey

Energy-Efficient Networking Solutions in Cloud-Based Environments: A Systematic Literature Review

Authors:

Fahimeh Alizadeh Moghaddam,

Paola GrossoAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 47, Issue 4

Article No.: 64, Pages 1 - 32

https://doi.org/10.1145/2764464

Published: 26 May 2015 Publication History

Abstract

The energy consumed by data centers hosting cloud services is increasing enormously. This brings the need to reduce energy consumption of different components in data centers. In this work, we focus on energy efficiency of the networking component. However, how different networking solutions impact energy consumption is still an open question. We investigate the state of the art in energy-efficient networking solutions in cloud-based environments. We follow a systematic literature review method to select primary studies. We create a metamodel based on the codes extracted from our primary studies using the Coding analytical method. Our findings show three abstraction levels of the proposed networking solutions to achieve energy efficiency in cloud-based environments: Strategy, Solution, and Technology. We study the historical trends in the investigated solutions and conclude that the emerging and most widely adopted one is the Decision framework.

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Index Terms

Energy-Efficient Networking Solutions in Cloud-Based Environments: A Systematic Literature Review
1. General and reference
  1. Document types
    1. Surveys and overviews
2. Networks
  1. Network services

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 47, Issue 4

July 2015

573 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/2775083

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering/University of Florida/Gainesville, FL

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Copyright © 2015 ACM.

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Publication History

Published: 26 May 2015

Accepted: 01 February 2015

Revised: 01 December 2014

Received: 01 July 2014

Published in CSUR Volume 47, Issue 4

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European Fund for Regional Development under project MRA Cluster Green Software
NWO through project GreenClouds

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https://doi.org/10.1016/j.suscom.2024.101051
Lago PCondori Fernandez NFatima IFunke MMalavolta I(2024)The sustainability assessment framework toolkit: a decade of modeling experienceSoftware and Systems Modeling10.1007/s10270-024-01230-9Online publication date: 15-Nov-2024
https://doi.org/10.1007/s10270-024-01230-9
Bessin AJong FLago PWiderberg O(2024)News from Europe’s Digital Gateway: A Proof of Concept for Mapping Data Centre News CoverageAdvances and New Trends in Environmental Informatics 202310.1007/978-3-031-46902-2_9(161-175)Online publication date: 9-Feb-2024
https://doi.org/10.1007/978-3-031-46902-2_9
Sica MSingh SProietti RTornatore MBen Yoo S(2023)Experimental Assessment of Reversibility-Aware Deep Reinforcement Learning for Optical Data Center Network Reconfiguration2023 International Conference on Optical Network Design and Modeling (ONDM)10.23919/ONDM57372.2023.10144881(1-6)Online publication date: 8-May-2023
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